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accession-icon GSE45404
Integrative computational biology and molecular determinants of rectal cancer resistance to chemoradiotherapies
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression analysis identified a CRC related signature of differentially expressed genes discriminating patients Responder and Non Responder to radiochemotherapy

Publication Title

A functional biological network centered on XRCC3: a new possible marker of chemoradiotherapy resistance in rectal cancer patients.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE62494
Inactivation of the Budding Yeast Cohesin Loader Scc2 alters Gene Expression both Globally and in Response to a Single DNA Double Strand Break
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Inactivation of the budding yeast cohesin loader Scc2 alters gene expression both globally and in response to a single DNA double strand break.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE61530
Inactivation of the Budding Yeast Cohesin Loader Scc2 alters Gene Expression both Globally and in Response to a Single DNA Double Strand Break [expression array]
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Genome integrity is fundamental for cell survival and cell cycle progression. Important mechanisms for keeping the genome intact are proper sister chromatid segregation, correct gene regulation and efficient repair of damaged DNA. Cohesin and its DNA loader, the Scc2/4 complex have been implicated in all these cellular actions. The gene regulation role has been described in several organisms. In yeast it has been suggested that the proteins in the cohesin network would effect transcription based on its role as insulator. More recently, data are emerging indicating direct roles for gene regulation also in yeast. Here we extend these studies by investigating whether the cohesin loader Scc2 is involved in regulation of gene expression. We performed global gene expression profiling in the absence and presence of DNA damage, in wild type and Scc2 deficient G2/M arrested cells, when it is known that Scc2 is important for DNA double strand break repair and formation of damage induced cohesion. We found that not only the DNA damage specific transcriptional response is distorted after inactivation of Scc2, but also the overall transcription profile. Interestingly, these alterations did not correlate with changes in cohesin binding.

Publication Title

Inactivation of the budding yeast cohesin loader Scc2 alters gene expression both globally and in response to a single DNA double strand break.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE70322
Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis
  • organism-icon Rattus norvegicus
  • sample-icon 33 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE70321
Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis (II)
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

Analysis of early changes in the R-H model of carcinogenesis in order to investigate the relationship between oval cell proliferation and preneoplastic foci

Publication Title

Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE70320
Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis (I)
  • organism-icon Rattus norvegicus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

Analysis of early changes in the R-H model of carcinogenesis in order to investigate the relationship between oval cell proliferation and preneoplastic foci

Publication Title

Cytokeratin-19 positivity is acquired along cancer progression and does not predict cell origin in rat hepatocarcinogenesis.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE56154
CD8 CDKN2A-/- lymphocytes expressing an active form of the transcription factor Stat5
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Transcriptome analyses of memory CDKN2A-/- CD8 T lymphocytes expressing an active form of the transcription factor Stat5.

Publication Title

Control of CD8 T cell proliferation and terminal differentiation by active STAT5 and CDKN2A/CDKN2B.

Sample Metadata Fields

Specimen part

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accession-icon GSE15605
Transcriptome profiling identifies HMGA2 as a novel gene in melanoma progression
  • organism-icon Homo sapiens
  • sample-icon 69 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The identification of novel tumor-specific markers may improve understanding of melanoma progression and prognostic accuracy. Whole genome expression profiling of 46 primary melanomas, 12 metastases, and 16 normal skin samples using Affymetrix U133 PLUS 2.0 array generated gene lists including both known and new melanoma genes.

Publication Title

Transcriptome profiling identifies HMGA2 as a biomarker of melanoma progression and prognosis.

Sample Metadata Fields

Sex, Age, Disease

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accession-icon GSE10927
Human adrenocortical carcinomas (33), adenomas (22), and normal adrenal cortex (10), on Affymetrix HG_U133_plus_2 arrays
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human samples of 33 adrenocortical carcinomas, 22 adrenocortical adenomas, and 10 normal adrenal cortex samples, each from a different patient, had mRNA assays performed using Affymetrix HG_U133_plus_2 arrays, with 54675 probe-sets. We note that the same array data is in GEO series GSE33371, where we assayed the cancer samples for Beta-catenin staining or mutation, and make new comparisons based on those assays.

Publication Title

Molecular classification and prognostication of adrenocortical tumors by transcriptome profiling.

Sample Metadata Fields

Sex, Age

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accession-icon GSE57898
Transcriptomic analysis of APC knockdown in proliferating primary myoblasts
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

APC is a key regulator of canonical Wnt signalling since it participates to beta-catenin targeting to proteasomal degradation when the pathway is inactive. Moreover, independently of Wnt signaling, APC regulates several cellular functions such as mycrotubule dynamics, chromosome segregation, cell adhesion. Although APC has been widely studied for its implication in initation and progression of several cancers, its role in satellite cells (skeletal muscle stem cells) has never been investigated.

Publication Title

APC is required for muscle stem cell proliferation and skeletal muscle tissue repair.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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